Manifold Markets is a prediction market: you can bet internet points (NOT REAL MONEY) on the probability of future events. The bets of the users, in aggregation, produce calibrated probabilities. Ditch the news. We have real-life crystal balls now.
Collection of markets made by the epistemically degenerate writer of the video:
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The planning fallacy makes us underestimate how long it takes to complete our tasks. This video presents two studies showcasing this effect on psychology students. The conclusion is that it is better to use an outside view approach rather than an inside view approach when dealing with planning and completion estimates.
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This video is based on a blog post on LessWrong, by Eliezer Yudkowsky: https://www.lesswrong.com/posts/CPm5LTwHrvBJCa9h5/planning-fallacy
Studies cited:
1. Roger Buehler, Dale Griffin, and Michael Ross, “Exploring the ‘Planning Fallacy’: Why People Underestimate Their Task Completion Times,” Journal of Personality and Social Psychology 67, no. 3 (1994): 366–381.
2. Ian R. Newby-Clark et al., “People Focus on Optimistic Scenarios and Disregard Pessimistic Scenarios While Predicting Task Completion Times,” Journal of Experimental Psychology: Applied 6, no. 3 (2000): 171–182.
...
https://www.youtube.com/watch?v=GgyX-MnRAuY
This time transparent monsters are hidden because we fail to see the full potential of our future. Early humans lived in a horrible state compared to us, and we live in a horrible state if we compare ourselves to a future more advanced humanity. For example, we still die: we haven’t defeated the dragon-tyrant yet. Another way in which future humanity could be better off is if it will have categories of value that we currently can’t imagine. Music that we lack the ears to hear. Such new values might be be unlocked directly or indirectly through new technology. For example, through new sensory organs, or in the same way we already unlocked new forms of experience through writing, new genres of music, new kinds of entertainment, and even mathematics. You can support our work on:
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https://www.youtube.com/watch?v=aAQR-_GKaR8
Elon Musk claimed it would be safest to build an AGI to be maximally curious and truth-seeking. Is he right?
NOPE.
#ai #aisafety
...
https://www.youtube.com/watch?v=4xS3yykCIHU
The 21st century might be the most important century in human history. In the next decades, we might usher in a period of extremely rapid technological and economic growth, upholding a long-run historical trend of super-exponential growth and leading to truly mind-bending technological and economic change in the span of a few decades. This period of transformation holds great promise for humanity, but, at the same time, we might not survive it. Artificial intelligence is the most likely technology to enable this period of extreme growth while posing most of the risk. We’ll explore one candidate approach to artificial general intelligence and its timelines.
This video is based on Holden Karnofsky’s “most important century” blog post series: https://www.cold-takes.com/most-important-century/
Below, you can find additional sources and further readings.
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Most important:
Holden Karnofsky’s “most important century” blog post series: https://www.cold-takes.com/most-important-century/
Ajeya Cotra’s report on AI timelines: https://drive.google.com/drive/u/1/folders/15ArhEPZSTYU8f012bs6ehPS6-xmhtBPP
More sources:
Our World in Data, page on population growth: https://ourworldindata.org/world-population-growth
Our World in Data, page on democracy: https://ourworldindata.org/democracy
Our World in Data, population of England: https://ourworldindata.org/grapher/population-of-england-millennium
Our World in Data, World GDP over the last two millennia: https://ourworldindata.org/grapher/world-gdp-over-the-last-two-millennia?time=1967..2015
Estimates of World GDP, One Million B.C – Present, by J. Bradford De Long: https://delong.typepad.com/print/20061012_LRWGDP.pdf
An Essay on the Principle of Population, by Thomas Malthus: https://www.medicina.univr.it/documenti/OccorrenzaIns/matdid/matdid170841.pdf
Population Growth and Technological Change: One Million B.C. to 1990* Micharl Kremer: https://robobees.seas.harvard.edu/files/pegroup/files/kremer1993_2.11.pdf
Modeling the Human Trajectory, by David Roodman: https://www.openphilanthropy.org/research/modeling-the-human-trajectory/
GDP Growth (annual %), from The World Bank: https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG
2016 Expert survey on progress in AI: https://aiimpacts.org/2016-expert-survey-on-progress-in-ai/
Robert Miles’ (our narrator) YouTube channel on AGI alignment: https://www.youtube.com/c/RobertMilesAI
Trends in the cost of computing, by AI Impacts: https://aiimpacts.org/trends-in-the-cost-of-computing/
Animation at minute 31:50 inspired by the cover of the book "Facing the Intelligence Explosion", by Luke Muehlhasuer: https://www.amazon.com/Facing-Intelligence-Explosion-Luke-Muehlhauser-ebook/dp/B00C7YOR5Q/ref=sr_1_3?crid=1JDT2NEC4KCVC&keywords=Luke+Muehlhauser&qid=1658663037&s=books&sprefix=luke+muehlhauser%2Cstripbooks-intl-ship%2C172&sr=1-3
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Writer: Matthew Barnett
Producer: :3
Animator: :3
Narrator: Robert Miles
Sound design: Tony Dipiazza
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Chapters:
0:00 - A Very Unusual Time Period
4:29 - The 21st Century Could Be Much Weirder Than We Imagine
10:08 - The Duplicator
14:55 - The Most Important Invention Ever?
15:53 - When Will Advanced AI Arrive?
20:29 - Ajeya Cotra's Report on AI Timelines
27:54 - What Does This All Ultimately Mean?
...
https://www.youtube.com/watch?v=3K25VPdbAjU
Sorting Pebbles Into Correct Heaps is a short story published by Eliezer Yudkowsky in the year 2008. It is about... what is it about again?
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Prediction markets enable you to bet on the outcomes of real-world events by buying shares for those outcomes. Share prices can be interpreted as the probability that the underlying event will happen, therefore they provide an aggregate measure of what the market's participants believe. Prediction markets have been found to provide very accurate probabilities, and there have been interesting proposals to use them for improving institutional decision-making. In this video, we'll explore all of this and more.
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Wikipedia on prediction markets (it's pretty good): https://en.wikipedia.org/wiki/Prediction_market
Forecasting Elections: Comparing Prediction Markets, Polls, and Their Biases, by David Rothschild: https://www.jstor.org/stable/40467652
Shall We Vote on Values, But Bet on Beliefs? (by Robin Hanson): http://mason.gmu.edu/~rhanson/futarchy.pdf
Futarchy: Vote Values, But Bet Beliefs (by Robin Hanson): https://mason.gmu.edu/~rhanson/futarchy.html
Augur: https://augur.net/
Polymarket: https://polymarket.com/
PredictIt: https://www.predictit.org/
FTX: https://ft-x.info/
ElectionBettingOdds: https://electionbettingodds.com/
Metaculus: https://www.metaculus.com/questions/
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How does Bitcoin work? This short video provides a simple and fun technical explanation.
(This is a reupload. We wanted to change a few things.)
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Sources:
This video is mostly a condensed version of "But how does bitcoin actually work?" by 3Blue1Brown: https://youtu.be/bBC-nXj3Ng4
I also used and recommend the book "Mastering Bitcoin", by Andreas M. Antonopoulos.
...
https://www.youtube.com/watch?v=eEY7ipqhCCc
The “halo effect”, a particular case of affect heuristic, is the reason why good-looking individuals are more likely to be considered intelligent, moral, and have generally good qualities. On the flip side, the horn effect causes people to believe that negative traits are connected to each other. The chad vs. virgin meme evolution is taken as an example of the halo effect/horn effect.
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This video is partly inspired by a blog post published in 2007 on LessWrong by Eliezer Yudkowsky: https://www.lesswrong.com/posts/ACGeaAk6KButv2xwQ/the-halo-effect
Studies cited:
1. Efran, M. G., & Patterson, E. W. J. (1976). The politics of appearance. Unpublished manuscript, University of Toronto.
2. Stewart, J. E. II. (1980). Defendant's attractiveness as a factor in the outcome of trials. Journal of Applied Social Psychology, 10, 348-361.
...
https://www.youtube.com/watch?v=mQEoLE-VtLU
When we specify goals for AIs, we must ensure that our specifications truly capture what we want. Otherwise, the behavior of AI systems will be different from what we want them to do. This can be catastrophic in high-stakes situations and at high levels of AI capability. If you watched our video "The Hidden Complexity of Wishes", you'll recognize these problems as the same kind of failure.
If you’d like to skill up on AI Safety, we highly recommend the AI Safety Fundamentals courses by BlueDot Impact at https://aisafetyfundamentals.com
You can find three courses: AI Alignment, AI Governance, and AI Alignment 201
You can follow AI Alignment and AI Governance even without a technical background in AI. AI Alignment 201, instead, presupposes having followed the AI Alignment course first, and equivalent knowledge as having followed university-level courses on deep learning and reinforcement learning.
The courses consist of a selection of readings curated by experts in AI safety. They are available to all, so you can simply read them if you can’t formally enroll in the courses.
If you want to participate in the courses instead of just going through the readings by yourself, BlueDot Impact runs live courses which you can apply to. The courses are remote and free of charge. They consist of a few hours of effort per week to go through the readings, plus a weekly call with a facilitator and a group of people learning from the same material. At the end of each course, you can complete a personal project, which may help you kickstart your career in AI Safety.
BlueDot impact receives more applications that they can take, so if you’d still like to follow the courses alongside other people you can go to the study-buddy channel in the AI Alignment Slack. You can join by clicking on the first entry on https://aisafety.community
You could also join Rational Animations’ Discord server at discord.gg/rationalanimations, and see if anyone is up to be your partner in learning.
#ai #aisafety #alignment
▀▀▀▀▀▀▀▀▀SOURCES & READINGS▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
9 Examples of Specification Gaming by @RobertMilesAI: https://youtu.be/nKJlF-olKmg
Specification gaming: the flip side of AI ingenuity by Victoria Krakovna, Jonathan Uesato, Vladimir Mikulik et al. (2020): https://www.deepmind.com/blog/specification-gaming-the-flip-side-of-ai-ingenuity
Learning from Human Preferences by Paul Christiano, Alex Ray and Dario Amodei (2017): https://openai.com/blog/deep-reinforcement-learning-from-human-preferences/
Learning to Summarize with Human Feedback by Jeffrey Wu, Nisan Stiennon, Daniel Ziegler et al. (2020): https://openai.com/blog/learning-to-summarize-with-human-feedback/
What failure looks like by Paul Christiano (2019): https://www.alignmentforum.org/posts/HBxe6wdjxK239zajf/what-failure-looks-like
The alignment problem from a deep learning perspective by Richard Ngo, Soeren Mindermann and Lawrence Chan (2022): https://arxiv.org/abs/2209.00626
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Alex Hall
Ivan Bachcin
joe39504589
Klemen Slavic
Scott Alexander
noggieB
Dawson
John Slape
Gabriel Ledung
Jeroen De Dauw
Craig Ludington
Jacob Van Buren
Superslowmojoe
Michael Zimmermann
Nathan Fish
Bleys Goodson
Ducky
Bryan Egan
Matt Parlmer
Tim Duffy
rictic
marverati
Luke Freeman
Dan Wahl
leonid andrushchenko
Alcher Black
Rey Carroll
William Clelland
ronvil
AWyattLife
codeadict
Lazy Scholar
Torstein Haldorsen
Supreme Reader
Michał Zieliński
▀▀▀▀▀▀▀CREDITS▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
Writer: :3
Producer: :3
Line Producer and production manager:
Kristy Steffens
Animation director: Hannah Levingstone
Quality Assurance Lead:
Lara Robinowitz
Animation:
Michela Biancini
Owen Peurois
Zack Gilbert
Jordan Gilbert
Keith Kavanagh
Ira Klages
Colors Giraldo
Renan Kogut
Background Art:
Hané Harnett
Zoe Martin-Parkinson
Hannah Levingstone
Compositing:
Renan Kogut
Patrick O'Callaghan
Ira Klages
Voices:
Robert Miles - Narrator
VO Editing:
Tony Di Piazza
Sound Design and Music:
Johnny Knittle
...
https://www.youtube.com/watch?v=jQOBaGka7O0